BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Colombo BEGIN:DAYLIGHT DTSTART:20380119T084407 TZOFFSETFROM:+0530 TZOFFSETTO:+0530 RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1 TZNAME:+0530 END:DAYLIGHT BEGIN:STANDARD DTSTART:20060415T000000 TZOFFSETFROM:+0600 TZOFFSETTO:+0530 RRULE:FREQ=YEARLY;BYDAY=3SA;BYMONTH=4 TZNAME:+0530 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251212T111848Z UID:016BF845-AEA5-4709-9AE3-D127F4927562 DTSTART;TZID=Asia/Colombo:20251125T090000 DTEND;TZID=Asia/Colombo:20251125T120000 DESCRIPTION:Workshop Overview:\n\nSocial media has become a central platfor m for communication\, public discourse\, and information exchange. With th e growing volume of user-generated content\, there is increasing academic and practical interest in analyzing social media text to understand trends \, sentiments\, behaviors\, and opinions. This workshop is designed to pro vide university students and researchers with a comprehensive introduction to the field of social media text analysis.\n\nParticipants will explore the core concepts and analytical frameworks that underpin the study of tex tual data from social platforms. The session will cover methods for collec ting and preparing social media data\, techniques for text mining and clas sification\, and practical applications such as sentiment analysis and top ic modeling. In addition\, participants will gain exposure to real-world u se cases across academic and industry contexts\, helping them understand h ow text analysis can inform research\, policy\, and decision-making.\n\nTh rough a combination of lectures and hands-on exercises\, attendees will de velop practical skills in working with social media data using current too ls and methodologies. The workshop aims to equip participants with the fou ndational knowledge and technical competence needed to carry out their own text analysis projects.\n\nThis workshop will serve as an introductory ex ploration of the process involved in detecting text analysis on social med ia platforms. It is particularly suited for university students and resear chers engaged in related fields.\n\nSpeaker(s): Lochandaka\, Supunmali\, S uresha\n\nSri Lanka Institute of Information Technology\, Malabe\, Sri Lan ka\, Sri Lanka LOCATION:Sri Lanka Institute of Information Technology\, Malabe\, Sri Lanka \, Sri Lanka ORGANIZER:shashikaieee@gmail.com SEQUENCE:15 SUMMARY:Workshop 4: Harnessing Text Analytics for User-Generated Content An alysis URL;VALUE=URI:https://events.vtools.ieee.org/m/521876 X-ALT-DESC:Description: <br /><h3>Workshop Overview:</h3>\n<p>Social media has become a central platform for communication\, public discourse\, and i nformation exchange. With the growing volume of user-generated content\, t here is increasing academic and practical interest in analyzing social med ia text to understand trends\, sentiments\, behaviors\, and opinions. This workshop is designed to provide university students and researchers with a comprehensive introduction to the field of social media text analysis.</ p>\n<p>Participants will explore the core concepts and analytical framewor ks that underpin the study of textual data from social platforms. The sess ion will cover methods for collecting and preparing social media data\, te chniques for text mining and classification\, and practical applications s uch as sentiment analysis and topic modeling. In addition\, participants w ill gain exposure to real-world use cases across academic and industry con texts\, helping them understand how text analysis can inform research\, po licy\, and decision-making.</p>\n<p>Through a combination of lectures and hands-on exercises\, attendees will develop practical skills in working wi th social media data using current tools and methodologies. The workshop a ims to equip participants with the foundational knowledge and technical co mpetence needed to carry out their own text analysis projects.</p>\n<p>Thi s workshop will serve as an introductory exploration of the process involv ed in detecting text analysis on social media platforms. It is particularl y suited for university students and researchers engaged in related fields .</p>\n<p><img src="https://events.vtools.ieee.org/vtools_ui/media/display /bfb9f678-7e3f-47f6-be68-15b63ed474b8" width="425" height="687"></p>\n<p>& nbsp\;</p> END:VEVENT END:VCALENDAR